A Heuristic Loop Closing Technique for Large-Scale 6D SLAM

Autor(en): Sprickerhof, Jochen
Nuechter, Andreas
Lingemann, Kai
Hertzberg, Joachim 
Stichwörter: 3D robotic mapping; Automation & Control Systems; Engineering; Engineering, Electrical & Electronic; Loop closing; SIMULTANEOUS LOCALIZATION; Simultaneous localization and mapping
Erscheinungsdatum: 2011
Herausgeber: KOREMA
Volumen: 52
Ausgabe: 3
Startseite: 199
Seitenende: 222
This paper presents a novel heuristic for correcting scan pose estimations after loop closing in SLAM using 3D laser scans. Contrary to state of the art approaches, the built SLAM graph is sparse, and optimization is done without any iteration between the SLAM front and back end, yielding a highly efficient loop closing method. Several experiments were carried out in an urban environment and evaluated against ground truth. The results are compared to other state of the art algorithms, proving the high quality, yet achieved faster by an order of magnitude.
ISSN: 00051144

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